Sony Pictures Entertainment
Sr Mgr Data Engineering (Agentic AI focus)
Sony Pictures Entertainment, Culver City, California, United States, 90232
Overview
Sr Mgr Data Engineering (Agentic AI focus) Role summar y: The Senior Manager will lead efforts to deploy modern tools and processes, including genAI and agentic AI, to accelerate and scale data management. This role evaluates technologies, prototypes implementations, and rapidly deploys agentic AI and similar innovations to improve data quality, reliability, and team velocity. You will lead business-facing projects and collaborate with non-technical stakeholders, data visualization engineers, and data scientists to enable ISA to deliver more sophisticated analytical tools. Key Responsibilities
AI Innovation:
Drive technical innovation within the data engineering and data stewardship teams to leverage agentic AI and other emerging technologies to boost speed, quality and accuracy of data work across the data lifecycle. New sources: data profiling, pipeline development, cataloging, documentation Data cleaning: scrubbing malformed values, normalization Data enrichment: matching, harmonization, accuracy confidence scoring, generating synthetic & genAI data Data operations & data stewardship: pipeline monitors and alerts, anomaly detection, proactive defect detection Data stewardship: nimble adaptation as upstream sources evolve Data Engineering:
Translate complex business requirements into the design of robust ELT pipelines, data models, and operational processes. Establish tools and processes to ensure data quality and accuracy. Project Delivery:
Contribute to fast-paced project teams building new ISA analytical tools. Source and model data from disparate systems to create data assets used by data scientists and data visualization leads, with collaboration across disciplines. Accelerate The Team:
As an experienced IC championing transformative tools, accelerate team velocity and scale outputs across data engineering and data stewardship. Coach and train team members, partner with IT and governance teams to enable new capabilities, and advocate for modernization in the ISA product lifecycle. Qualifications
Education:
Bachelor’s or Master’s degree in Computer Science, Data Science, Business Analytics, or related fields; advanced degrees are a plus. Experience:
10+ years in data engineering or related technical leadership roles, preferably in media and entertainment or related industries. AI Expertise: Broad knowledge of Generative AI, LLMs, agentic AI paradigms, model lifecycle for modernizing legacy data pipelines and data management processes. Successful track record of implementing agentic AI workflows and testing frameworks to improve data quality and reliability. 2+ years hands-on experience applying AI to data management processes. Technical Acumen: Proficiency in data engineering, analytics tools, and methodologies. Expert-level SQL & Python skills. Hands-on experience with modern orchestration tools like Airflow. Conceptual expertise in data modeling and system architecture design within a modern data stack. Familiarity with software engineering best practices (source control, code reviews, unit testing). Skilled at creating ERDs, architectural diagrams and technical specs. Business Focus & Communication Skills: Deep knowledge of business concepts, entities and relationships relevant to a TV production & distribution studio. Proven ability to understand complex data domains to organize and manage data assets for analytics. Strong communication skills to collaborate with non-technical stakeholders; curiosity to understand business systems and processes where data originates. Preferred Qualifications: Industry Experience: Experience in media and entertainment is a plus; candidates from other industries are welcome. Passion for Entertainment: Genuine interest in film and television is appreciated but not mandatory. Strategic Mindset: Strong problem-solving skills and attention to detail. Collaborative Team Builder: Experience in diverse, multicultural, international environments. Continuous Learner: Commitment to ongoing learning and innovation. Compensation & Benefits:
The anticipated base salary for this position is $128K to $167K. This role may qualify for annual incentive and/or comprehensive benefits. Salary is determined based on factors including qualifications, experience, education, certifications, and location. EEO & Accommodations:
Sony Pictures Entertainment is an equal opportunity employer. Qualified applicants are evaluated without regard to race, color, religion, sex, national origin, disability, veteran status, age, sexual orientation, gender identity, or other protected characteristics. SPE will consider qualified applicants with arrest or conviction records in accordance with applicable law. To request an accommodation for the hiring process, contact SPE_Accommodation_Assistance@spe.sony.com. Note:
Referrals increase your chances of interviewing. This listing reflects the Sr Mgr Data Engineering (Agentic AI focus) role in Culver City, CA with related postings included for context.
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Sr Mgr Data Engineering (Agentic AI focus) Role summar y: The Senior Manager will lead efforts to deploy modern tools and processes, including genAI and agentic AI, to accelerate and scale data management. This role evaluates technologies, prototypes implementations, and rapidly deploys agentic AI and similar innovations to improve data quality, reliability, and team velocity. You will lead business-facing projects and collaborate with non-technical stakeholders, data visualization engineers, and data scientists to enable ISA to deliver more sophisticated analytical tools. Key Responsibilities
AI Innovation:
Drive technical innovation within the data engineering and data stewardship teams to leverage agentic AI and other emerging technologies to boost speed, quality and accuracy of data work across the data lifecycle. New sources: data profiling, pipeline development, cataloging, documentation Data cleaning: scrubbing malformed values, normalization Data enrichment: matching, harmonization, accuracy confidence scoring, generating synthetic & genAI data Data operations & data stewardship: pipeline monitors and alerts, anomaly detection, proactive defect detection Data stewardship: nimble adaptation as upstream sources evolve Data Engineering:
Translate complex business requirements into the design of robust ELT pipelines, data models, and operational processes. Establish tools and processes to ensure data quality and accuracy. Project Delivery:
Contribute to fast-paced project teams building new ISA analytical tools. Source and model data from disparate systems to create data assets used by data scientists and data visualization leads, with collaboration across disciplines. Accelerate The Team:
As an experienced IC championing transformative tools, accelerate team velocity and scale outputs across data engineering and data stewardship. Coach and train team members, partner with IT and governance teams to enable new capabilities, and advocate for modernization in the ISA product lifecycle. Qualifications
Education:
Bachelor’s or Master’s degree in Computer Science, Data Science, Business Analytics, or related fields; advanced degrees are a plus. Experience:
10+ years in data engineering or related technical leadership roles, preferably in media and entertainment or related industries. AI Expertise: Broad knowledge of Generative AI, LLMs, agentic AI paradigms, model lifecycle for modernizing legacy data pipelines and data management processes. Successful track record of implementing agentic AI workflows and testing frameworks to improve data quality and reliability. 2+ years hands-on experience applying AI to data management processes. Technical Acumen: Proficiency in data engineering, analytics tools, and methodologies. Expert-level SQL & Python skills. Hands-on experience with modern orchestration tools like Airflow. Conceptual expertise in data modeling and system architecture design within a modern data stack. Familiarity with software engineering best practices (source control, code reviews, unit testing). Skilled at creating ERDs, architectural diagrams and technical specs. Business Focus & Communication Skills: Deep knowledge of business concepts, entities and relationships relevant to a TV production & distribution studio. Proven ability to understand complex data domains to organize and manage data assets for analytics. Strong communication skills to collaborate with non-technical stakeholders; curiosity to understand business systems and processes where data originates. Preferred Qualifications: Industry Experience: Experience in media and entertainment is a plus; candidates from other industries are welcome. Passion for Entertainment: Genuine interest in film and television is appreciated but not mandatory. Strategic Mindset: Strong problem-solving skills and attention to detail. Collaborative Team Builder: Experience in diverse, multicultural, international environments. Continuous Learner: Commitment to ongoing learning and innovation. Compensation & Benefits:
The anticipated base salary for this position is $128K to $167K. This role may qualify for annual incentive and/or comprehensive benefits. Salary is determined based on factors including qualifications, experience, education, certifications, and location. EEO & Accommodations:
Sony Pictures Entertainment is an equal opportunity employer. Qualified applicants are evaluated without regard to race, color, religion, sex, national origin, disability, veteran status, age, sexual orientation, gender identity, or other protected characteristics. SPE will consider qualified applicants with arrest or conviction records in accordance with applicable law. To request an accommodation for the hiring process, contact SPE_Accommodation_Assistance@spe.sony.com. Note:
Referrals increase your chances of interviewing. This listing reflects the Sr Mgr Data Engineering (Agentic AI focus) role in Culver City, CA with related postings included for context.
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